WebVision Image Track

* The WebVision 2020 workshop is being hosted @WebVisionVirtual *
Please click on the link to view the presentation videos and take part in the live Q&A sessions!

* Result of WebVision 2020 challenge is released *

The recent success of deep learning has shown that a deep architecture in conjunction with abundant quantities of labeled training data is the most promising approach for many vision tasks. However, annotating a large-scale dataset for training such deep neural networks is costly and time-consuming, even with the availability of scalable crowdsourcing platforms like Amazon’s Mechanical Turk. As a result, there are relatively few public large-scale datasets (e.g., ImageNet and Places2) from which it is possible to learn generic visual representations from scratch.

Thus, it is unsurprising that there is continued interest in developing novel deep learning systems that trained on low-cost data for image and video recognition tasks. Among different solutions, crawling data from Internet and using the web as a source of supervision for learning deep representations has shown promising performance for a variety of important computer vision applications. However, the datasets and tasks differ in various ways, which makes it difficult to fairly evaluate different solutions, and identify the key issues when learning from web data.

The webvision image track aims at promoting the advance of learning state-of-the-art visual models directly from the web, and bringing together computer vision researchers in this field. To this end, we release a large scale web image dataset named WebVision or visual understanding by learning from web data. The datasets consists of 16 million of web images crawled from Internet for 5,000 visual concepts. A validation set consists of around 290K images with human annotation will be provided for the convenience of algorithmic development.

Based on this dataset, we also organize the 4th Challenge on Visual Understanding by Learning from Web Data. The final results will be announced at the workshop, and the winners will be invited to present their approaches at the workshop. An invited paper tack will also be included in the workshop.

Workshop Schedule

All times are Pacific Daylight Time (Seattle time)

Date: June 15th, 2020

Location: Virtual

* The WebVision 2020 workshop is being hosted @WebVisionVirtual *
Please click on the link to view the Workshop Schedule.

Important Dates

Challenge Launch Date March 1, 2020
Challenge Submissions Deadline June 7, 2020
Challenge Award Notification June 10, 2020
Paper Submission Deadline May 15, 2020
Paper Notification May 30, 2020
Workshop date (co-located with CVPR'20) June 15th, 2020

All times are Pacific Daylight Time (Seattle time).


General Chairs

Jesse Berent
Abhinav Gupta
Rahul Sukthankar
Luc Van Gool

Program Chairs

Wen Li
Hilde Kuehne
Suman Saha
Qin Wang
Limin Wang
Wei Li